Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …

Understanding the patterns of mobile data consumption is extremely valuable to reveal
human activities and ecology in urban areas. This task is nontrivial in terms of three …

Call detail record (CDR) data from mobile communication carriers offer an emerging and
promising source of information for analysis of traffic problems. To date, research on insights …

Road-network traffic monitoring on city-scale is critical for a wide range of applications, such
as traffic forecasting, congestion identification, traffic safety, and urban planning, etc. Despite …

In this study, with Estonia as an example, we established an approach based on Hidden
Markov Model to extract large-scale commuting patterns at different geographical levels …

Introduction The deep penetration of mobile phones offers cities the ability to
opportunistically monitor citizens' interactions and use data-driven insights to better plan and …

Urban landscapes present a variety of socio-topological environments that are associated to
diverse human activities. As the latter affect the way individuals connect with each other, a …

Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

In this study, with Singapore as an example, we demonstrate how we can use mobile phone
call detail record (CDR) data, which contains millions of anonymous users, to extract …